Pixie: a system for recommending 3+ billion items to 200+ million users in real-time | the morning paper
Ups and Downs: Modeling the Visual Evolution of Fashion Trends with One-Class Collaborative Filtering
Building a successful recommender system depends on understanding both the dimensions of people's preferences as well as their dynamics. In certain domains, such as fashion, modeling such preferences can be incredibly difficult, due to the need to simultaneously model the visual appearance of products as well as their evolution over time. The subtle semantics and non-linear dynamics of fashion evo
Fashionista: A Fashion-aware Graphical System for Exploring Visually Similar Items
To build a fashion recommendation system, we need to help users retrieve fashionable items that are visually similar to a particular query, for reasons ranging from searching alternatives (i.e., substitutes), to generating stylish outfits that are visually consistent, among other applications. In domains like clothing and accessories, such considerations are particularly paramount as the visual ap
User Recommendation in Instagram (WWW 2016) - Google Drive
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Www2016.net
http://stanford.edu/~rezab/papers/wtf_overview.pdf
http://arxiv.org/pdf/1003.0146v2.pdf
